All projects from the School of Engineering
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COST Action – Fintech and Artificial Intelligence in Finance - Towards a transparent financial industry
COST Aktion CA19130 - Fintech and Artificial Intelligence in Finance - Towards a transparent financial industry
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Demonstrator für IEEE802.3 / APL
The final objective (this offer is for a first phase) is to build a demonstrator to show the feasibility of implementing frame preemption (IEEE802.3 clause 99 and IEEE802.1Qbr) on 10BASE-T1L links, if possible in a multi-vendor setup.
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Lithotripsy with Artificial Intelligence
About 2-3% of the worldwide population develop kidney stones. The stone can be treated with extra corporeal shock wave lithotripsy (ESWL). For the treatment the stone has to be positioned in the focus of the shock wave source. Patient positioning is critical, because misalignment will lead to ineffective treatment ...
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Machine learning for NMR spectroscopy
The goal of this project is to make NMR spectroscopy available to a wider range of applications and to non-experts by the automation of data reduction and analysis steps, in particular by combining deep learning methods for the extraction and a Bayesian approach for the integration and refinement of information. ...
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Printer for optical lenses for fast prototyping and small series
A lens printer is intended to produce high-quality optical lenses with selectable focal lengths for small series at low cost.
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Sensitivity Analysis
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Convolutional Neural Network Algorithms for Wind Turbine Fault Detection
In this project we evaluate the performance of fault detection algorithms based on Convolutional Neural Networks for application in operational wind turbines.
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Data Sharing Framework
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Personal Safety Systems
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Smart Path Planner for 14-Axis laser weld machine
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SPACCIO – 3D-Printed Transdermal Delivery System
An innovative transdermal delivery system is being developed based on 3D-printing techniques. It allows to efficiently administrate parapharmaceuticals in a controlled manner to the body. A novel business model is concurrently developed to enable a personalized offering.
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TheGreefa
This project is aimed at a new technology for heating, cooling, air humidity control and water recovery in greenhouses as well as for drying of agricultural goods using thermo-chemical conversion principles based on the use of salt solutions (thermochemical fluids). The technology allows to (1) use unexplored ...
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Wireless power transfer in PV system with very high string voltages
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Production of solid film of SU8 photoresist by R2R coating
Production of solid film of SU8 photoresist by R2R coating.
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Therapy comparison for multiple sclerosis
In this project, the longterm effectiveness (i.e. EDSS progression) of a only clinically tested new drug was compared to Teriflunomide. For this purpose, in a first step, the two data sets (Randomized Clinical Trial Data of the new drug and observational Data for Teriflunomide) were processed for comparability using ...
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Data analysis of the potential reduction of the utilization energy in the city of Winterthur.
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BIMprove – Build Smarter. Cleaner. Cheaper.
The BIM principle (Building Information Management) is currently establishing itself worldwide in the planning phase of construction projects. In the EU-H2020 project BIMProve, the goal is to extend this digitalization to the construction phase of larger building projects. In real time, the current construction ...
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Can virtual reality systems help us to design software as we talk?
In the context of digital transformation, we work on the challenge of speeding up the time-to-market of high-quality software products. The extraordinary value of this project comes from involving virtual reality systems for requirements engineering. From a practical point of view, we investigate how to digitalise ...
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Design of experiments for simulations using Massive Simultaneous Cloud Computing (MSCC)
The projects goal is the development of a software to enable Massive Simultaneous Cloud Computing (MSCC). The technology shall enable the user to conduct large simulation based parameter studies in the cloud using professional design of experiment (DOE) tools.
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Design of human-machine interactions in autonomous digital service ecosystems (socio-technical systems)
The interaction of humans and machines is a central component of value creation in future socio-technical service ecosystems. In this project, methods for the design of these systems will be developed, which will play a central role in the digital society.
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Digital Dermatology
The goal of this fellowship is to study the impact of the digitalization of dermatology on the society. The result will be a white paper to inform and guide the various stakeholders as well as a proposal for the first industry or foundation endorsed Swiss chair in digital dermatology.
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GitOps for Kubernetes Platform
GitOps is an innovative technique that blends version control technology with declarative application configuration specifications such as Infrastructure as Code (IaC). It removes the chance of errors and security issues by removing the reliance on human operators or scripts to perform deployment tasks. Implementing ...
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Influence of additional weight carrying on load-induced changes in glenohumeral translation in patients with rotator cuff tear - a translational approach
This project aims to explore human shoulder biomechanics using a functional shoulder model. The experimental tests are compared with subject measurements for a better characterization of the muscle and joint forces acting on the shoulder.
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Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management
For Switzerland, the reputation of stable long-standing financial institutions has always represented a crucial advantage for the acquisition and retention of customers. However, as the financial service industry becomes more global, clients expect personalized offerings and inclusiveness of service which in turn ...
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Artificial Intelligence to improve venture capital decision making
Building a domain-specific AI supporting Venture Capital decision making solution for efficiency gains and quality improvement; Deal sourcing, screening and selection of investment opportunities leveraging a machine learning powered prediction models to assess a startup’s chances of success. ...